Stephen Moseley

Stephen works on Post Processing Met Office model data and nowcasting programmes.

Areas of expertise

  • Downscaling.
  • Nowcasting.
  • Software Engineering.

Current activities

Stephen is a scientist working on post processing and nowcasting. Stephen maintains, modifies and writes the Met Office UKPP code which adds value to the unprocessed Numerical Weather Prediction model data. These data are then used by the Met Office forecasters to interpret the weather and also produces automated products for customers. Stephen manages the UKPP science project, planning and managing future scientific changes to UKPP and its several derivatives.

In order to add value to the Numerical Weather Prediction model data it is necessary to understand how the real atmosphere differs from the modelled atmosphere, particularly in the near-surface layer. To this end, Stephen works with both modelling scientists and forecasters to understand what tools and processes are needed to improve our weather products. Stephen is then able to write and test robust scientific algorithms to fulfil these and other customer needs.

Career background

Stephen has been a member of the Post-Processing group since it was formed in 2007. Prior to this, Stephen had worked in the Nowcasting group since joining the Met Office in 2001. Prior to joining the Met Office, Stephen completed a BSc in Meteorology at the University of Reading. Since joining the Met Office, Stephen has focused on the development of the Met Office's nowcasting programmes; first Nimrod, and now UKPP which includes downscaling modelled data. As code owner of the UKPP, Stephen has had to develop the code to be robust on each of the computing machines it has been migrated to while maintaining the scientific integrity of the programmes and ensuring that collaborative work is suitable for inclusion in the operational programmes.

External Recognition

  • Stephen is the Letters Editor for the Weather magazine of the Royal Meteorological Society.
  • Stephen has been nominated for Met Office awards for excellence.

Last updated: 8 April 2014